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» An Improved Construction of Progression-Free Sets
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IJCNN
2008
IEEE
15 years 4 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
86
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AVSS
2007
IEEE
15 years 4 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
ICC
2007
IEEE
220views Communications» more  ICC 2007»
15 years 4 months ago
Broadcasting Protocols for Multi-Radio Multi-Channel and Multi-Rate Mesh Networks
— A vast amount of broadcasting protocols has been developed for wireless ad hoc networks. To the best of our knowledge, however, these protocols assume a single-radio singlechan...
Min Song, Jun Wang, Qun Hao
GECCO
2007
Springer
201views Optimization» more  GECCO 2007»
15 years 4 months ago
Evolving explicit opponent models in game playing
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
Alan J. Lockett, Charles L. Chen, Risto Miikkulain...
KDD
2007
ACM
210views Data Mining» more  KDD 2007»
15 years 4 months ago
Machine learning for stock selection
In this paper, we propose a new method called Prototype Ranking (PR) designed for the stock selection problem. PR takes into account the huge size of real-world stock data and app...
Robert J. Yan, Charles X. Ling